Semantic chunking now supports any embedder, including custom providers

SemanticChunking now works with all Agno embedders (e.g., Azure OpenAI, Mistral) and custom chonkie BaseEmbeddings via a wrapper, with new parameters for finer control. This expands model choice, helps optimize cost/latency, and reduces vendor lock-in without refactoring pipelines.

Details

Plug in your preferred embedding provider with minimal configuration
Tune chunk sizes and thresholds to match corpus and performance goals
Maintain consistent chunking strategies across environments

Who this is for: RAG builders and platform teams optimizing retrieval quality and TCO.